What happened
Vectorize.io's Hindsight hit GitHub Trending after a rapid-fire week of integrations: MCP server support (March 4), Pydantic AI (March 9), and Ollama (March 10). The open-source agent memory system scores 91% on LongMemEval by modeling human long-term memory — extracting structured facts, resolving entities, and building a knowledge graph rather than hoarding raw text. Any MCP-compatible agent (Claude, Cursor, Windsurf) can use Hindsight as its memory backend with a single JSON config change.
Why it matters
Agent memory is the unsolved problem holding back long-running agents. Most solutions either dump everything into a vector store (noisy retrieval) or maintain simple key-value memory (loses relationships). Hindsight's knowledge-graph approach with entity resolution is architecturally closer to how humans actually remember — structured facts with relationships, not chunks of text. The MCP-native design means it works with the emerging agent protocol standard rather than requiring custom integration. The Ollama support means the entire stack can run locally with zero cloud dependencies.
Who should pay attention
Developers building agents that need persistent memory across sessions, Claude Code and MCP ecosystem builders, teams frustrated with RAG-based memory approaches, and engineers who want fully local agent memory (via Ollama integration) without sending data to external services.